Attention-based Inferer Attention mechanism has shown strong ability in capturing semantic interactions [1]}. Inspired by the co-attention mechanism [2]}, we propose an attention-based inferer (ABI) to estimate the mean and standard deviation of a distribution belongs to \(p_{\theta }(\cdot )\)  or \(q_{\phi }(\cdot )\)  by capturing semantic interactions of input sequences.
